Improving Battery Performance with Multiphysics Simulation - Archived
Batteries are often the most expensive component in electric vehicles (EVs). One of the most popular choices for EVs, lithium-ion batteries, are known for their high energy density, long cycle life, and low rate of self-discharge. However, a disadvantage of lithium-ion batteries is their sensitivity to changes in operating temperature. For instance, an increase in temperature can lead to an increased rate of degradation and shorten the battery life.
Tune into this webinar to see how multiphysics simulation can be used to predict the thermal behavior of battery cells and packs as well as to design optimized battery thermal management systems.
Key Discussion Points:
- Predicting and improving the cycle life of batteries with multiphysics simulation
- Computing variations in battery cell degradation rates during a load cycle
- Evaluating the thermal performance of battery packs and predicting capacity fade and aging
- Analyzing different battery cooling mechanisms, such as liquid, air, and phase change material cooling
- Thermal management of batteries in extreme temperature conditions
Register for Improving Battery Performance with Multiphysics Simulation
Archived Webinar Details
Applications Engineer II
Rustam Singh Shekhar is an applications engineer at COMSOL, specializing in electrochemistry and battery simulation. He received his PhD in energy science and engineering from IIT Bombay, masters in chemical engineering from IIT Hyderabad, and bachelors in chemical engineering from MITS Gwalior. His expertise includes electrode microstructure and cell- and pack-level modeling.